{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{4}{c}}
\hline\hline
            &\multicolumn{1}{c}{(1)}         &\multicolumn{1}{c}{(2)}         &\multicolumn{1}{c}{(3)}         &\multicolumn{1}{c}{(4)}         \\
\hline
Ciudadanos voter&      0.0407         &      0.0316         &                     &                     \\
            &    (0.0429)         &    (0.0436)         &                     &                     \\
[1em]
Vox voter   &                     &                     &       0.111\sym{***}&      0.0295         \\
            &                     &                     &    (0.0339)         &    (0.0385)         \\
\hline
Controls    &          No         &         Yes         &          No         &         Yes         \\
\hline\hline
\multicolumn{5}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{5}{l}{\footnotesize Standard errors are robust}\\
\multicolumn{5}{l}{\footnotesize The outcome variable is a dummy for whether each respondent used a private}\\
\multicolumn{5}{l}{\footnotesize voting booth to cast their vote in the general election of November 2019}\\
\multicolumn{5}{l}{\footnotesize Models 2 and 4 include controls for income, education, age, age squared, size of}\\
\multicolumn{5}{l}{\footnotesize respondent's municipality, and a dummy for respondents identifying as female}\\
\multicolumn{5}{l}{\footnotesize The analyses exclude respondents who voted for PP}\\
\multicolumn{5}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
\end{tabular}
}
